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Fractional AI Technical Leadership

Your AI initiative is stuck.
Let's fix that.

Most companies have AI on the roadmap and nothing in production. Agents to Production gives you senior AI engineering leadership — without the full-time hire — to move from experiment to working system.

Book a 30-Minute Discovery Call → See How It Works

No pitch. No commitment. Jerico tells you honestly whether and how he can help.

15+
Countries deployed
200+
Engineers trained
Fortune 500
Client track record
$0
If outcomes aren't met
The AI Initiative Gap

You're not behind because your team isn't smart. You're behind because production AI is a different discipline.

Most engineering teams are excellent at what they were hired to do. Building AI agents — the kind that run reliably in production, cost what they're supposed to cost, and can be maintained and improved over time — requires a specialized set of skills most companies are still developing.

The companies that win at AI don't have better engineers. They have better guidance.
❌

The initiative that never ships

The POC runs great in a demo. In production it hallucinates, times out, or costs ten times what anyone planned. The project gets shelved.

❌

The team learning on your runway

Your engineers are talented. But they've never built a production-grade RAG system or designed a multi-agent workflow. Every mistake is a week lost.

❌

The full-time hire that doesn't make sense yet

A senior AI engineer with a real production track record costs $200K–$300K/year — when you can find one. And the search takes 3–6 months. Fractional is not a consolation prize; it's the right answer at a specific stage.

❌

The agent built with AI tools that lives in staging

Your team used Claude Code or Cursor and had something running in three days. Three months later it's still not in production — it hallucinates, costs are unpredictable, there's no observability, and nobody knows how to fix it.

❌

The vendor who sells you a platform, not a solution

Every AI cloud vendor has a "solution" for your use case. None of them will tell you when their platform is the wrong fit, or when you're overbuilding.

Is this for you?

Built for a very specific situation

Jerico works with a small number of clients at a time — by design. This works when all three apply.

✅

You have engineers. None have shipped AI agents to production.

Your team is strong at what they were hired to do. LangGraph orchestration, RAG eval pipelines, and LLMOps instrumentation require a different skill set. You need someone who's done it before — in production, not in a notebook.

✅

You have a specific use case, not just a goal.

"We want to do AI" is not enough. You can name the process you want to automate, you have data or a system to integrate with, and someone on your team will own and maintain what gets built after Jerico leaves.

✅

You need to move in weeks, not months.

Sourcing and hiring a senior AI engineer with a production track record takes 3–6 months — if you find one. Fractional means you're working in weeks. And you're not betting on a full-time hire before you know if the use case works.

What we do differently

Engineering expertise and executive communication. In the same person.

Jerico writes the LangGraph code and presents the architecture to your board. Most consultants do one or the other. The gap between those two things is where AI initiatives die.

1

30-min discovery call

Jerico asks structured questions about your stack, your team, and your use case. He tells you which tier fits — or if ATP isn't the right call at all.

2

Scope locked in writing

A written scope document covers deliverables, timeline, and price before any work starts. No surprises, no scope creep.

3

Delivery with knowledge transfer

Jerico builds or leads. Every architecture decision is documented and explained so your team can extend it independently.

4

Your team owns it

The goal is to make Jerico unnecessary as fast as possible. When the engagement ends, nothing is a black box.

How we work together

Four ways in. One goal: AI that runs in production.

All prices in USD. Tier 1 fee credits toward any higher tier if you sign within 30 days.

New · Fastest path to value
Production Hardening

You Built It. Let's Ship It.

$5,000–$7,000 scoped
2–3 weeks · ~30 hours

Your team already built the agent — with Claude Code, Cursor, LangGraph, or something else. It works in local. It doesn't work in production. This sprint closes that gap: eval suite, LLMOps instrumentation, cost controls, deployment, and documentation your team can actually use.

  • ✓Architecture review — what's fragile and why
  • ✓Eval suite (RAGAS) — know when your agent fails before users do
  • ✓Langfuse tracing — cost, latency, and quality dashboards
  • ✓Production deployment on your infrastructure
  • ✓Runbook + team handoff so your engineers own it
🛡️ Agent runs in production at the end. If it doesn't, Jerico keeps working at no extra cost until it does.
Book a Discovery Call
Tier 1

AI Readiness Sprint

$3,000 flat
2 weeks · ~15 hours

For CTOs who need to define their AI strategy before committing budget or headcount. You walk away with a prioritized roadmap you can defend in a board meeting.

  • ✓AI landscape audit of your current stack
  • ✓Opportunity map — where AI creates real value
  • ✓Prioritized roadmap (top 3–5 initiatives)
  • ✓Board-ready executive presentation deck
  • ✓1-hour walkthrough call with your team
  • ✓30-day async access for follow-up
🛡️ Full refund if you don't leave with a roadmap you're confident presenting to your board.
Book a Discovery Call
Tier 2

Agent to Production Sprint

$8K–$12K scoped
4–6 weeks · ~50 hours

One AI agent from idea to production. Not a proof-of-concept — production. With architecture, working code, deployment, observability, and a team handoff that means your engineers can own it after Jerico leaves.

  • ✓Architecture design document (signed off before code)
  • ✓Working LangGraph-based agent implementation
  • ✓RAG pipeline (if applicable) — chunking, evals, retrieval
  • ✓LLMOps setup — Langfuse tracing, RAGAS evals
  • ✓Production deployment on your infrastructure
  • ✓Team handoff session + 2-week post-launch support
🛡️ The agent runs in production at the end. If it doesn't, Jerico keeps working at no additional cost until it does.
Book a Discovery Call
Tier 3

Fractional AI Technical Lead

$4,000 /month
3-month minimum · 20 hrs/month

Embedded AI technical leadership for companies that need ongoing direction without a full-time hire. Jerico is at the table every week — reviewing architecture, unblocking engineers, presenting to your C-suite.

  • ✓Weekly architecture review (async or 30-min sync)
  • ✓Code reviews on AI-specific logic
  • ✓Monthly C-suite AI strategy presentation
  • ✓LLMOps oversight — cost drift, quality, latency
  • ✓Team upskilling and architecture patterns
  • ✓On-call async access (24-hour response)
🛡️ No long-term lock-in beyond the 3-month minimum. Exit with 30 days notice after Month 3.
Book a Discovery Call

Pricing: $8K (single agent, defined scope) · $10K (multi-step with RAG) · $12K (multi-agent or complex infrastructure)

What we do differently

Not another AI consulting engagement.

Most consultants hand you a strategy deck and leave you to implement it — or write code nobody in leadership understands. The gap between those two things is where AI initiatives die.

Others
  • ❌POCs that impress the board but never reach production
  • ❌Strategy decks without implementation accountability
  • ❌Code your team can't extend or maintain
  • ❌AI generalists who do everything and specialize in nothing
  • ❌No guarantee — you pay regardless of outcome
Agents to Production
  • ✓Production, not POC — evals, observability, and cost controls from day one, not bolted on later
  • ✓Uses Claude Code and modern AI tools actively — faster delivery, same quality bar
  • ✓Can harden what your team already built — or build from scratch if you don't have anything yet
  • ✓Writes the LangGraph code and presents the architecture to your board — same person
  • ✓Guaranteed outcomes — if the deliverable doesn't land, work continues at no extra cost
Outcomes

Real systems. Real results. No client names — just what actually happened.

🏆 Best-in-class

Data compliance implementation shipped across 15+ international markets

A global Fortune 500 automotive company's compliance implementation went live across multiple countries in weeks. Recognized as "foundational" by client leadership and presented at a company-wide town hall. Multiple new business lines followed directly.

15+ countries Fortune 500 Automotive
Multi-agent system

5-agent system replaced a manual data pipeline — 70% faster

Designed, built, and deployed a 5-agent system to automate a multi-stage data integration pipeline. Replaced a fully manual process, reduced processing time by ~70%, and gave the team a reusable architecture pattern for future work.

LangGraph Azure AI Foundry Team-owned post-handoff
Enablement

200+ engineers trained in modern MLOps — 80% adoption

A 12-month AI engineering enablement program trained 200+ engineers across a global consultancy. Hands-on labs and structured assessments translated directly into new AI service lines launched in 15+ countries.

200+ engineers 15+ countries 80% adoption
What they say

Real feedback from real projects.

From clients and technical leaders who have worked directly with Jerico.

"This project was a major success but also a lot of fun, excited for the next one!"
Jim — Client Stakeholder
Global Automotive · Fortune 500
Data Compliance · Detroit, USA
"You are an invaluable member of the MLOps team. Your experience maps directly to the essential skills of a modern MLOps engineer… experienced in collaborating with non-technical stakeholders. We are lucky to have you."
Senior Technical Lead
Global Technology Consultancy
MLOps Engineering · Global Engagement
Jerico Hernandez JH
The person behind the practice

Jerico Hernandez has shipped AI in 15 countries. Now he helps companies do the same.

Jerico is a Senior AI Delivery Lead with a specific profile: he writes LangGraph code and presents architecture to C-suites. Not one or the other. That combination is rare, and it's what makes the fractional model work — your engineers and your board both get someone who speaks their language.

Production track record: 5-agent systems shipped to live environments, AI implementations across automotive, financial services, and technology for Fortune 500 clients in 15+ countries. He also built Arca — a semantic caching proxy for LLM API calls on Databricks that cuts costs 30–40% in production workloads. Not a side project. A tool built to solve a real cost problem, now used as a reference implementation with clients.

MSc in Applied AI. Background in Mechatronics and Robotics. Fluent in English and Spanish. He takes a small number of clients per quarter — because the fractional model only works when the engagement is real, not when it's spread across 20 accounts.

What he won't do: build something your team can't maintain, start a project without a written scope, or tell you AI is the right answer before he understands your actual problem.

LangGraph RAG Systems LLMOps Claude Code Azure AI Foundry Databricks MLflow Langfuse RAGAS Python Anthropic API
Ready to move?

Thirty minutes. Jerico tells you exactly where your AI initiative is stuck and what it would take to fix it.

No pitch. No commitment. If ATP isn't the right fit for your situation, he'll say so — and point you somewhere that is.

Book a Discovery Call →
Or email directly: jerico@agentstoproduction.com
Jerico takes a limited number of new clients per quarter.